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JP-2026075737-A - Traffic volume estimation device, method for estimating traffic volume, and computer program

JP2026075737AJP 2026075737 AJP2026075737 AJP 2026075737AJP-2026075737-A

Abstract

[Problem] To estimate dense travel routes using sparse information on the number of people and vehicles, and sparse information on travel routes. [Solution] The traffic volume estimation device comprises an acquisition unit that acquires: a measurement device installed at any point within the estimation target area, which measures the number of people and/or vehicles passing through the point, and location history information representing a series of actual location information that has changed with the movement of any person or vehicle passing through the estimation target area; and a location estimation unit that uses the acquired person and vehicle measurement information and location history information to estimate extended location history information representing a series of location information that would have changed with the movement of each person or vehicle for all people and vehicles within the estimation target area. [Selection Diagram] Figure 1

Inventors

  • 田口 優真
  • 町田 貴史

Assignees

  • 株式会社豊田中央研究所

Dates

Publication Date
20260511
Application Date
20241023

Claims (8)

  1. Traffic volume estimation device, An acquisition unit that acquires: person-vehicle count measurement information representing the number of people and/or vehicles measured by a measuring device installed at any point within the estimated target area, which measures the number of people and/or vehicles passing through that point; and location history information representing a series of actual location information that changes as a person-vehicle moves through the estimated target area; A position estimation unit that uses the acquired passenger vehicle count measurement information and the position history information to estimate extended position history information representing the sequence of position information that would have changed with the movement of each passenger vehicle for all passenger vehicles within the estimated target area, A traffic volume estimation device equipped with the following features.
  2. A traffic volume estimation device according to claim 1, further, The system includes a passenger count estimation unit that estimates extended passenger count measurement information representing the number of passengers at all locations within the target area, including locations where the measuring device is not installed, using the acquired passenger count measurement information and location history information. Traffic volume estimation device wherein, if the position estimation unit has expanded passenger and vehicle count measurement information estimated by the passenger and vehicle count estimation unit, it estimates the expanded position history information using the expanded passenger and vehicle count measurement information instead of the passenger and vehicle count measurement information acquired by the acquisition unit.
  3. A traffic volume estimation device according to claim 2, If the passenger count estimation unit has the extended location history information estimated by the location estimation unit, it will use the extended location history information to estimate the extended passenger count measurement information instead of the location history information acquired by the acquisition unit. Traffic volume estimation device further comprising a convergence determination unit that repeatedly performs the estimation of the extended number of people and vehicles by the person and vehicle number estimation unit and the estimation of the extended location history information by the location estimation unit until predetermined conditions are met.
  4. A traffic volume estimation device according to claim 3, Traffic volume estimation device, wherein the predetermined condition is that the prediction accuracy calculated from the comparison result between the person-vehicle count measurement information acquired by the acquisition unit and the extended person-vehicle count measurement information estimated by the person-vehicle count estimation unit is equal to or greater than a predetermined threshold.
  5. A traffic volume estimation device according to any one of claims 1 to 4, When the aforementioned position estimation unit refers to the sequence of position information as a movement path, Using the location history information, candidate movement paths are generated. Traffic volume estimation device that estimates the extended location history information by selecting a set of travel routes that match the number of people and vehicles measured from the generated candidate travel routes.
  6. A traffic volume estimation device according to claim 5, The traffic volume estimation device generates candidate travel routes by considering at least one of the following: map-like conditions, environmental conditions, temporal conditions, and event-related conditions.
  7. A method for estimating traffic volume, wherein an information processing device is An acquisition step of acquiring: person-vehicle count measurement information representing the number of people and/or vehicles measured by a measuring device installed at any point within the estimated target area, which measures the number of people and/or vehicles passing through that point; and location history information representing a series of actual location information that changed as a person-vehicle moved through the estimated target area; A position estimation step in which, using the acquired passenger vehicle count measurement information and the position history information, an extended position history information representing a series of position information that would have changed with the movement of each passenger vehicle is estimated for all passenger vehicles within the estimated target area. How to do it.
  8. A computer program, for use in an information processing device. An acquisition function that acquires: person-vehicle count measurement information representing the number of people and/or vehicles measured by a measuring device installed at any point within the estimated target area, which measures the number of people and/or vehicles passing through that point; and location history information representing a series of actual location information that changes with the movement of any person-vehicle moving around in the estimated target area; A position estimation function that uses the acquired passenger vehicle count information and the position history information to estimate extended position history information representing the sequence of position information that would have changed with the movement of each passenger vehicle for all passenger vehicles within the estimated target area, A computer program that makes this possible.

Description

This invention relates to a technology for estimating traffic volume. In recent years, there has been a growing need to manage the large-scale crowds generated by major events. Examples of how to handle large crowds include designing traffic flow to prevent crowd accidents and ensure social distancing, designing traffic flow to guide a portion of the crowd to nearby commercial facilities, and designing mobility services that take crowd flow into consideration. By predicting the crowd flow generated by events and designing these areas accordingly, safety can be improved, and reductions in the personnel required for traffic control and economic benefits can be expected. As a device for predicting pedestrian flow, for example, Patent Document 1 describes a pedestrian flow estimation device that acquires the number of people passing through and the direction of pedestrian movement from two or more pedestrian flow measuring devices having different measurement characteristics, and generates OD data, which is the number of pedestrians moving from a virtual entrance to a virtual exit. For example, Patent Document 2 describes a pedestrian flow survey support system that generates a large number of hypotheses based on a pedestrian flow model that represents changes in pedestrian flow, and calculates a pedestrian flow distribution that is consistent with the measurement data by evaluating the compatibility with the measurement data from a pedestrian flow measuring instrument. Japanese Patent Publication No. 2019-012494Japanese Patent Publication No. 2014-112292 This is an explanatory diagram illustrating the configuration of an estimation system as one embodiment of the present invention.This diagram explains the information regarding the number of people and vehicles measured.This is a diagram explaining location history information.This flowchart shows an example of the processing steps in the position estimation unit.This figure illustrates step S30 of Figure 4.This is a diagram illustrating extended location history information.This is an explanatory diagram illustrating the configuration of the estimation system in the second embodiment.This is a diagram explaining the extended passenger and vehicle count measurement information.This is an explanatory diagram illustrating the configuration of the estimation system in the third embodiment. <First Embodiment> Figure 1 is an explanatory diagram illustrating the configuration of estimation system 1 as one embodiment of the present invention. Estimation system 1 is a system that estimates (predicts) the flow of people and vehicles within an arbitrary target area. The flow of people and vehicles estimated by estimation system 1 can be used, for example, for designing traffic routes to prevent accidents and ensure social distancing, designing traffic routes to guide a portion of people and vehicles to nearby commercial facilities, and designing mobility services that take into account the flow of people and vehicles. Estimation system 1 comprises a traffic volume estimation device 100, a people and vehicle count storage unit 200, and a location history storage unit 300. In Figure 1, the transmission and reception of people and vehicle count measurement information IN1 and location history information IN2 are shown by thin dashed lines, and the transmission and reception of extended location history information IN21 are shown by thick dashed lines. In this embodiment, "people and vehicles" means people and/or vehicles. Hereafter, the term "people and vehicles" may be interpreted as meaning only people, only vehicles, or both people and vehicles. The "estimated target area" of the estimation system 1 is the area targeted for estimation of the flow of people and vehicles by the estimation system 1. The estimated target area is predetermined. The estimated target area can be set arbitrarily; for example, outdoors it could be the facility where a large-scale event is held and the surrounding city blocks, or indoors it could be the floor where a large-scale event is held and the surrounding area. The estimated target area may also be any area outdoors or indoors unrelated to a large-scale event. The person-vehicle count storage unit 200 is a storage medium that pre-stores person-vehicle count measurement information IN1. The person-vehicle count measurement information IN1 is the number of people and/or vehicles actually measured by a measuring device installed at any point within the target area for estimation. "Person-vehicle count" refers to the number of people and/or vehicles. The person-vehicle count storage unit 200 is communicated with the traffic volume estimation device 100. The person-vehicle count storage unit 200 may be a storage medium built into or connected to the traffic volume estimation device 100. The person-vehicle count storage unit 200 may also be located on a server or the like on a network. Figure 2 is a diagram illustrating the pedestrian/vehicle co